Full-Time

Forward Deployed Engineer

AI

Confirmed live in the last 24 hours

MongoDB

MongoDB

5,001-10,000 employees

Database platform for developers and businesses

Compensation Overview

$118k - $231k/yr

Senior

Company Historically Provides H1B Sponsorship

New York, NY, USA

Remote work is available in the North America region.

Category
FinTech Engineering
Full-Stack Engineering
Software Engineering
Required Skills
LLM
Microsoft Azure
Python
React.js
Node.js
Java
Microservices
AWS
Next.js
AngularJS
Google Cloud Platform
Requirements
  • 5+ years of experience in software development, customer engineering, solution architecture, or similar roles, including at least 2 years dedicated to designing and implementing AI solutions
  • Demonstrate a strong customer-centric approach and excellent communication skills, capable of clearly articulating complex technical solutions to diverse audiences
  • Proficiency in building modern, full-stack applications with back end development in Python, Node.js, or Java, and front end development with frameworks like React, Angular or Next.js
  • Understand and have implemented AI solutions like Retrieval-Augmented Generation (RAG) systems, and LLMs for real-world, real-time applications
  • Have hands-on experience deploying scalable AI applications on cloud environments (AWS, Azure, GCP)
  • Demonstrate deep understanding of modern development practices, including CI/CD, test-driven development, and microservices
  • Demonstrable experience in rapidly evolving, high-uncertainty projects, turning ambiguous problems into clear, measurable solutions
  • Willing to travel up to 30% to engage directly with strategic customers
Responsibilities
  • Embed deeply with strategic customers, gaining a thorough understanding of their business strategy, challenges and technical requirements within the context of AI
  • Architect, design, and implement end-to-end AI solutions using an iterative, experiment-driven approach
  • Scope projects, define deliverables, and create actionable plans for both rapid prototypes and enterprise-scale deployments
  • Hands-on develop scalable, secure, and performant AI solutions, working side-by-side with customer engineering teams
  • Prototype and iterate solutions leveraging MongoDB Atlas, cloud technologies, LLMs, and generative AI technologies
  • Provide technical leadership to ensure architectural alignment, quality, and successful customer outcomes
  • Actively engage with emerging AI technologies to stay ahead of trends, incorporating new insights into customer solutions
  • Collaborate closely with our Sales teams, Solution Architects, Product, and wider Professional Services to deliver high-impact, scalable solutions that drive measurable business outcomes
  • Contribute to internal knowledge sharing, creating resources, best practices, and reusable assets that scale the broader AI capability across MongoDB
Desired Qualifications
  • Hold an advanced degree (MSc or PhD) in AI, Data Science, Machine Learning, or related fields
  • Experience in R&D within the data science, AI/ML space especially around differing AI domains (agentic, discriminative, perceptual, conversational, reinforcement etc), data processing, optimisation, prompt engineering, model validation, model fine tuning and reranking
  • Have knowledge of AI ethics, governance, and compliance frameworks
  • Are proficient in additional languages such as Spanish, Italian, German, or Mandarin

MongoDB provides a modern database platform that helps developers and businesses create applications quickly and efficiently. Its main product is the MongoDB database, which features a flexible document data model that allows for easy data management and rapid application development. Additionally, MongoDB offers Atlas, a fully-managed cloud database service, along with other integrated services. This platform is popular among various industries, including technology, finance, healthcare, and retail, due to its high availability, data integrity, and strong security features. Unlike many competitors, MongoDB's pricing model combines subscription and usage-based options, catering to a wide range of clients from startups to large enterprises. The company's goal is to empower innovation by providing a scalable and secure database solution while fostering a diverse workplace culture that encourages unique perspectives.

Company Size

5,001-10,000

Company Stage

IPO

Headquarters

New York City, New York

Founded

2007

Simplify Jobs

Simplify's Take

What believers are saying

  • MongoDB's expansion into Mexico opens new markets and increases customer base.
  • Integration with Firebase streamlines app development, attracting more developers.
  • Partnership with Vertosoft expands MongoDB's reach into lucrative government markets.

What critics are saying

  • Increased competition from Firebase could erode MongoDB's market share.
  • Over-reliance on Google services poses strategic risks for MongoDB.
  • Expansion into Mexico may strain resources and lead to operational inefficiencies.

What makes MongoDB unique

  • MongoDB offers a flexible document data model for rapid application development.
  • The company provides a fully-managed cloud database service, MongoDB Atlas.
  • MongoDB's platform supports high availability, data integrity, and robust security.

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Benefits

Family Support Programs

Flexible PTO

Fertility and Adoption Assistance

Employee Affinity Groups

Transgender Benefits and Support

Mental Health

Wellness Events and Programs

Global Mobility

Growth & Insights and Company News

Headcount

6 month growth

-1%

1 year growth

1%

2 year growth

0%
Dev Content Ops
Apr 18th, 2025
DevContentOps Weekly News Roundup Apr 18 2025

MongoDB has introduced the integrated MongoDB cluster assessment as a menu item in Google's Migration Center Use Case Navigator.

MongoDB
Apr 8th, 2025
Introducing New Navigation for MongoDB Atlas and Cloud Manager

MongoDB is excited to announce a major update to MongoDB Atlas and MongoDB Cloud Manager: a redesigned user experience that improves the workflow and navigation to access services and tools.

MongoDB
Apr 7th, 2025
Firebase & MongoDB Atlas: A Powerful Combo for Rapid App Development

MongoDB is pleased to announce the release of the Firebase extension MongoDB Atlas, a direct MongoDB connector for Firebase that further streamlines the development process by enabling seamless integration between the two platforms.

GuidePoint Security
Mar 28th, 2025
A New Standard for SaaS Security: Reducing Risk and Complexity

To address this, GuidePoint Security LLC has teamed up with the Cloud Security Alliance (CSA), MongoDB, and experts around the globe to develop a standardized framework.

MongoDB
Mar 24th, 2025
MongoDB Atlas Expands Cloud Availability to Mexico

Since opening MongoDB's Mexico City office in 2016, MongoDB has expanded rapidly, and have hired approximately 50 employees over the past three years to support rising demand and enhance every stage of the customer journey.